Staff Observability Data Infrastructure Engineer @CVS Health
Software Development
Salary usd 130,295 - 2..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Job Type full-time
Posted 2d ago

[Hiring] Staff Observability Data Infrastructure Engineer @CVS Health

2d ago - CVS Health is hiring a remote Staff Observability Data Infrastructure Engineer. ๐Ÿ’ธ Salary: usd 130,295 - 260,590 per year ๐Ÿ“Location: USA

Role Description

CVS Health is seeking a highly skilled Observability Data Infrastructure Engineer to join our Enterprise Observability and Security Engineering team. This individual contributor role is responsible for building, scaling, and operationalizing an enterprise Observability Lakehouse that enables threat detection, incident response, and platform visibility across hybrid and multi-cloud environments.

The ideal candidate brings deep expertise in Databricks, large-scale telemetry pipelines, and OpenTelemetry (OTEL)-aligned architectures, along with strong engineering rigor and a passion for improving security and reliability through data. This role partners closely with Security Engineering, SRE, Cloud, and SOC teams to ensure enterprise telemetry is complete, trustworthy, and actionable.

Key Responsibilities

  • Design, build, and operate high-volume log, metric, and trace pipelines using Databricks, cloud data lakes, and distributed processing engines.
  • Architect and evolve an Observability Lakehouse aligned with OpenTelemetry (OTEL) data models and standards.
  • Implement ingestion and transformation workflows using technologies such as Cribl, Vector, Jenkins, GitHub Actions, or equivalent tools.
  • Normalize, model, and enrich telemetry data to support detection engineering, forensics, and operational analytics.
  • Develop scalable ETL/ELT frameworks, Delta Lake architectures, and automated data quality validation for unstructured and semi-structured data.
  • Partner with Security Engineering, SRE, Cloud, and SOC teams to improve enterprise visibility and detection accuracy.
  • Build and maintain CI/CD pipelines and reusable Infrastructure-as-Code (IaC) patterns for observability platform deployment.
  • Identify and resolve performance, latency, cost, and reliability issues across telemetry pipelines.
  • Contribute to engineering standards, documentation, and knowledge sharing across observability and security platforms.

Qualifications

  • 7+ years of experience building and operating log, metric, and trace pipelines in Data, Security Data, or Observability Engineering roles.
  • 5+ years of hands-on experience with Databricks, Apache Spark, or other large-scale distributed data platforms.
  • 5+ years of experience working across cloud platforms (AWS, Azure, or GCP), including storage, compute, and event-driven services.
  • 5+ years of production experience using SQL and Python in data-intensive environments.
  • 3+ years of experience with enterprise observability platforms (Splunk, Datadog, Elastic, or equivalent).
  • 3+ years of experience with high-throughput ingestion and streaming technologies such as Cribl, Vector, or Kafka.
  • 3+ years of experience designing telemetry systems aligned to OpenTelemetry (OTEL) or similar standards.

Preferred Qualifications

  • Background supporting SIEM/SOAR platforms, detection engineering, or threat analytics.
  • Familiarity with Delta Lake, Unity Catalog, metadata management, and data lineage.
  • Understanding of security governance, auditing, access controls, and sensitive data handling.
  • Hands-on experience with Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation).
  • Familiarity with cloud-native compute and orchestration services (Azure Functions, AWS Lambda, GCP Cloud Functions, Kubernetes).
  • Strong communication skills with the ability to engage both engineering teams and senior stakeholders.
  • Demonstrated passion for observability, security, reliability, and continuous learning.

Education

  • Bachelorโ€™s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

Pay Range

The typical pay range for this role is: $130,295.00 - $260,590.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the companyโ€™s equity award program.

Benefits

  • Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
  • Medical, dental, and vision coverage.
  • Paid time off.
  • Retirement savings options.
  • Wellness programs and other resources, based on eligibility.
Before You Apply
๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Staff Observability Data Infrastructure Engineer @CVS Health
Software Development
Salary usd 130,295 - 2..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Job Type full-time
Posted 2d ago
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๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Sent Follow-Up โœ“
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